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DATASHEET // AGNO

Agno

High-performance multimodal agents.

FREEMIUMCPU-CAPABLELocal or cloud
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OKAPI
Visit AgnoUPDATED 2026-05-12 · DIRECT LINK
github.com/agno-agi/agno
Agno — preview image

HARDWARE REQUIREMENTS //

Local or cloud · No GPU

CPU-CAPABLE
Min VRAM
None
Rec. VRAM
None
Min RAM
4 GB
Rec. RAM
8 GB
Disk
2 GB
GPU class
No GPU
Apple Silicon ✓CPU-Capable

Negligible local footprint. GPU only if running a local multimodal model.

[ EDITORIAL PICK ]

Why we recommend Agno

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Agno the company changes direction.

  • CPU-capable

    Doesn't require a dedicated GPU — useful on laptops and headless servers.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Easy

    Runs CPU-only — no CUDA / driver gymnastics required.

  • Hardware comfort
    Runs anywhere

    No dedicated GPU required.

  • Ecosystem
    Strong devkit

    Open-source AND ships an API — easy to integrate, possible to host yourself.

  • Verification
    Recent

    Catalogue entry last updated 65 days ago — re-verification due soon.

[ MORE IN THIS NICHE ]

Other agent frameworks tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Agno.

What is Agno?

Agno (formerly Phidata) is a Python framework for building multimodal agents with memory, knowledge, and tools. Notable for being unusually fast (~3μs agent instantiation, ~6.5KB RAM) thanks to a tight runtime, and for first-class support for image, audio, and video I/O — not just text.

Pros & cons

✓ PROS

  • Genuinely fast agent runtime — useful at scale
  • First-class multimodal: image/audio/video in and out
  • Built-in memory, knowledge base (RAG), and tool integrations
  • Clean, opinionated Python API

– CONS

  • Smaller community than CrewAI / LangGraph
  • Recent rebrand from Phidata may confuse search results

What's actually free?

OSS framework free; Agno Cloud has free tier with paid plans.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

CrewAI

Role-playing agents working as a crew.

FREEMIUMCPU-CAPABLE

AutoGen

Microsoft's multi-agent conversation framework.

OPEN SOURCECPU-CAPABLE